Sarcoma is a rare disease affecting both bone and connective tissue and with over 100 pathologic entities, differential diagnosis can be difficult. Complementing immune-histological diagnosis with current ancillary diagnostic techniques, including FISH and RT-PCR, can lead to inconclusive results in a significant number of cases. We describe here the design and validation of a novel sequencing tool to improve sarcoma diagnosis. A NGS DNA capture panel containing probes for 87 fusion genes and 7 genes with frequent copy number changes was designed and optimized. A cohort of 113 DNA samples extracted from soft-tissue and bone sarcoma FFPE material with clinical FISH and/or RT-PCR results positive for either a translocation or gene amplification was used for validation of the NGS method. Sarcoma-specific translocations or gene amplifications were confirmed in 110 out of 113 cases using FISH and/or RT-PCR as gold-standard. MDM2/CDK4 amplification and a total of 25 distinct fusion genes were identified in this cohort of patients using the NGS approach. Overall, the sensitivity of the NGS panel is 97% with a specificity of 100 and 0% failure rate. Targeted NGS appears to be a feasible and cost-effective approach to improve sarcoma subtype diagnosis with the ability to screen for a wide range of genetic aberrations in one test.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41379-020-0488-1DOI Listing

Publication Analysis

Top Keywords

improve sarcoma
12
approach improve
8
sarcoma diagnosis
8
fusion genes
8
fish and/or
8
and/or rt-pcr
8
sarcoma
5
diagnosis
5
ngs
5
novel generation
4

Similar Publications

Background: Paediatric sarcomas, including rhabdomyosarcoma, Ewing sarcoma and osteosarcoma, represent a group of malignancies that significantly contribute to cancer-related morbidity and mortality in children and young adults. These cancers share common challenges, including high rates of metastasis, recurrence or treatment resistance, leading to a 5-year survival rate of approximately 20% for patients with advanced disease stages. Despite the critical need, therapeutic advancements have been limited over the past three decades.

View Article and Find Full Text PDF

We report the case of a 73-year-old man with progressive dyspnea and acute respiratory failure. Imaging revealed extensive infiltrative shadows in the right lung. A bronchoscopic biopsy confirmed primary lung adenocarcinoma harboring the BRAF V600E mutation.

View Article and Find Full Text PDF

Kaposi's sarcoma (KS) is a soft tissue lesion that resembles a hyperpigmented angiosarcoma and is typically associated with human herpesvirus 8 (HHV-8) infection. It is most frequently observed in immunocompromised patients, particularly those with AIDS, and is also referred to as HIV-associated Kaposi's sarcoma (AIDS-KS). The disease progresses rapidly, is challenging to manage, and has a high mortality rate.

View Article and Find Full Text PDF

A 50-year-old man presented with a bulky mass in the left thigh and was referred to our department. He showed an impaired Eastern Cooperative Oncology Group performance status of 3 due to swelling of the left thigh and pain. Imaging analysis revealed a large mass measuring 16 cm in the left thigh and right forearm, along with the bilateral adrenal gland, right lung, right axillary lymph nodes, liver, and left femur.

View Article and Find Full Text PDF

Multi-omics profiling reveals key factors involved in Ewing sarcoma metastasis.

Mol Oncol

January 2025

Sarcoma Research Group, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Oncobell, L'Hospitalet de Llobregat, Barcelona, Spain.

Ewing sarcoma (EWS) is the second most common bone tumor affecting children and young adults, with dismal outcomes for patients with metastasis at diagnosis. Mechanisms leading to metastasis remain poorly understood. To deepen our knowledge on EWS progression, we have profiled tumors and metastases from a spontaneous metastasis mouse model using a multi-omics approach.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!